Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "185" csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 75 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_ Found 71 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
antnum = row['Ant']
if antnum != int(antenna):
continue
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459594 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.825789 | -0.705340 | 3.755895 | -0.064420 | 26.117440 | -1.094899 | 5.087134 | -0.228373 | 0.7901 | 0.7921 | 0.2590 | 9.985581 | 10.487321 |
| 2459593 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.600336 | -0.330763 | 8.082918 | -0.388030 | 2.398309 | -0.827094 | 1.447237 | -0.253636 | 0.7287 | 0.7309 | 0.2560 | 6.643827 | 6.242849 |
| 2459592 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.657932 | -0.649033 | 1.493445 | -0.648710 | 1.697433 | -0.581695 | 1.238847 | -0.145683 | 0.0414 | 0.0404 | 0.0010 | nan | nan |
| 2459591 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.100344 | -0.716055 | 9.273332 | 0.394884 | 1.832628 | -0.685043 | -1.050804 | 0.177298 | 0.6769 | 0.6882 | 0.3724 | 9.241232 | 7.838537 |
| 2459590 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.612646 | -0.184104 | 8.363104 | -0.238750 | 1.851746 | -0.932355 | -0.733957 | -0.094895 | 0.6802 | 0.6868 | 0.3626 | 7.883886 | 6.904780 |
| 2459589 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.283712 | -0.615113 | 6.571590 | -0.348904 | 12.090117 | -0.943449 | 3.361880 | -0.516967 | 0.7209 | 0.7159 | 0.2803 | 6.531228 | 5.940619 |
| 2459588 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.745419 | -0.858900 | 10.081901 | 0.033571 | 1.628107 | -0.666296 | 2.577283 | -0.409014 | 0.7695 | 0.7526 | 0.2397 | 7.970378 | 7.709468 |
| 2459587 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | 1.839885 | -0.464875 | 13.971842 | 0.705275 | 1.450743 | 0.030297 | -0.540765 | 0.379965 | nan | nan | nan | 26.829630 | 26.930296 |
| 2459586 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 7.03% | 0.00% | 0.454876 | -0.363374 | 0.256344 | -0.380046 | -0.772545 | -0.997408 | -0.630407 | 0.918717 | 0.6697 | 0.6826 | 0.3522 | 1.689472 | 1.665518 |
| 2459585 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.360295 | 0.364892 | -0.123794 | 0.535734 | 1.342511 | 0.185320 | 1.459289 | -0.173440 | 0.0416 | 0.0419 | 0.0016 | 0.000000 | 0.000000 |
| 2459584 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.60% | 1.803181 | 0.593521 | -0.698837 | -0.253084 | -0.617867 | -0.573188 | -0.379346 | 2.090145 | 0.6213 | 0.6283 | 0.3643 | 1.413542 | 1.426742 |
| 2459583 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.23% | 0.00% | 0.849597 | 0.083471 | -0.854513 | 0.609160 | -0.526303 | -0.403183 | -0.469334 | 1.496027 | 0.6830 | 0.6893 | 0.3808 | 1.767551 | 1.852674 |
| 2459582 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.70% | 0.00% | 0.668363 | 0.233064 | -0.473784 | 0.830849 | -0.823557 | -0.659074 | -0.572094 | 0.119594 | 0.6838 | 0.6908 | 0.3853 | 1.707266 | 1.721474 |
| 2459581 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.24% | 0.00% | 0.689061 | 0.339392 | -0.965928 | 0.323746 | -0.835010 | -0.559343 | -0.494578 | 2.312446 | 0.6867 | 0.6939 | 0.3830 | 1.676514 | 1.654820 |
| 2459580 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.76% | 0.00% | 0.654798 | 0.215109 | -0.460488 | 0.428187 | -0.643938 | -0.463555 | -0.626422 | 2.707840 | 0.6852 | 0.6910 | 0.3811 | 1.776067 | 1.708207 |
| 2459579 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459578 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.509440 | -0.380258 | -0.846471 | -0.814087 | 1.113495 | 0.469251 | -0.398053 | -0.657530 | 0.0327 | 0.0349 | 0.0017 | nan | nan |
| 2459577 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 17.84% | 3.24% | 0.450756 | 0.010835 | -0.897200 | 0.376623 | -0.611257 | -0.388771 | -0.294326 | 0.691915 | 0.6799 | 0.6871 | 0.3847 | 1.718525 | 1.657772 |
| 2459576 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.84% | 0.00% | 0.075341 | 0.107190 | -0.739469 | 0.644148 | -0.307691 | 0.984270 | -0.348522 | 3.341943 | 0.7055 | 0.7128 | 0.3794 | 1.501817 | 1.546806 |
| 2459575 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.178435 | 0.084790 | -0.348930 | 0.430159 | 11.260325 | -0.328422 | -0.851540 | 0.376508 | 0.7661 | 0.7682 | 0.3224 | 8.838306 | 9.059340 |
| 2459574 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459573 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459572 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.78% | 0.00% | 0.760989 | 0.567229 | -0.719414 | 0.452953 | -0.773821 | 0.103615 | -0.345827 | -0.313317 | 0.7048 | 0.7145 | 0.3842 | 1.584584 | 1.563755 |
| 2459571 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.345986 | -0.386905 | -0.877728 | -0.904304 | 6.325330 | -0.696261 | -0.085765 | -0.416918 | 0.0379 | 0.0464 | 0.0013 | nan | nan |
| 2459570 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 3.24% | 0.679373 | 0.998178 | 0.440904 | 0.901157 | 0.597869 | 0.723186 | 0.409852 | 0.739308 | 0.6918 | 0.7056 | 0.3470 | 1.583710 | 1.752035 |
| 2459569 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 0.00% | 0.411454 | 0.126475 | -0.838659 | 0.423020 | 0.906575 | 0.261656 | -0.715361 | 0.446398 | 0.7839 | 0.7872 | 0.2206 | 2.050450 | 1.919016 |
| 2459566 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 0.00% | 0.624731 | -0.075986 | -0.734560 | 0.537676 | 0.060752 | 0.172023 | 0.635900 | 3.275805 | 0.6944 | 0.7055 | 0.3943 | 1.637507 | 1.679306 |
| 2459565 | digital_ok | 0.00% | - | - | - | 100.00% | 0.00% | 0.190615 | 0.190615 | 0.168786 | 0.168786 | -0.882853 | -0.882853 | -0.945292 | -0.945292 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459564 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.20% | 0.00% | -0.249120 | 0.714994 | -1.059075 | 0.839374 | -0.080625 | -0.002746 | 0.391342 | 3.345516 | 0.7120 | 0.7117 | 0.3982 | 1.745634 | 1.669960 |
| 2459563 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | 1.087594 | 0.118621 | -0.316655 | -0.077197 | -0.171061 | -0.518753 | -0.111014 | 1.076474 | 0.7077 | 0.7124 | 0.3872 | 1.697740 | 1.723815 |
| 2459562 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.147365 | 0.764805 | -0.366573 | 0.651318 | 0.295087 | 0.730140 | -0.010546 | 1.725612 | 0.7129 | 0.7180 | 0.3829 | 1.776684 | 1.714619 |
| 2459561 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | 0.507134 | 0.576863 | -0.415935 | 0.451852 | 0.613700 | 0.433523 | 0.089609 | 0.102760 | 0.7101 | 0.7171 | 0.3828 | 1.847096 | 1.793254 |
| 2459560 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.002274 | 0.370337 | -0.310425 | 0.515613 | 0.734614 | 0.618890 | 0.042274 | 0.006580 | 0.7052 | 0.7120 | 0.3968 | 1.694051 | 1.649114 |
| 2459559 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -0.232071 | 0.421616 | -0.497187 | 0.420295 | 0.586156 | 0.439499 | 0.229354 | 1.242312 | 0.7076 | 0.7120 | 0.3832 | 1.724665 | 1.615365 |
| 2459558 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459557 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0380 | 0.0405 | 0.0021 | nan | nan |
| 2459556 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.41% | 0.00% | 0.923991 | 0.474062 | -0.535343 | 1.113720 | -0.615938 | -0.407899 | -0.623517 | 0.595015 | 0.7048 | 0.7062 | 0.3944 | 1.641284 | 1.556332 |
| 2459554 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7133 | 0.7160 | 0.3956 | nan | nan |
| 2459553 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7022 | 0.6877 | 0.3891 | nan | nan |
| 2459552 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.130652 | 7.122553 | 0.364813 | 1.381369 | 49.498931 | 11.870497 | 1.437761 | 1.292092 | 0.7078 | 0.7043 | 0.3894 | 10.328940 | 9.759193 |
| 2459551 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -0.005495 | 0.286895 | -0.616673 | 0.453451 | 0.574708 | 0.597986 | -0.068835 | 0.725186 | 0.7115 | 0.7135 | 0.3896 | 1.854084 | 1.721490 |
| 2459550 | digital_ok | - | 99.18% | 99.18% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0516 | 0.0515 | 0.0007 | nan | nan |
| 2459549 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.11% | 0.00% | 1.216991 | 0.052314 | -0.671469 | 0.250221 | -0.164155 | -0.372189 | -0.145811 | 1.631243 | 0.7063 | 0.7063 | 0.4037 | 1.766616 | 1.605004 |
| 2459542 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 22.32% | 0.00% | 1.035348 | 0.668684 | -0.811164 | 1.382464 | -0.721124 | -0.608814 | -0.400267 | 1.633872 | 0.7632 | 0.7530 | 0.3553 | 1.713527 | 1.632917 |
| 2459541 | digital_ok | 0.00% | 0.45% | 0.45% | 0.00% | 21.88% | 0.00% | 0.236534 | -0.222132 | -0.038978 | 0.269578 | -0.080061 | 0.076131 | -0.676052 | 0.672930 | 0.7646 | 0.7542 | 0.3277 | 1.690285 | 1.573149 |
| 2459540 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.88% | 0.89% | 0.521367 | 0.609764 | -0.575650 | 0.425592 | -0.574016 | -0.168944 | -0.289149 | 0.507984 | 0.7662 | 0.7562 | 0.3389 | 1.619774 | 1.521556 |
| 2459536 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.93% | 0.00% | -0.193369 | 0.122355 | -0.014732 | 0.894009 | -0.820329 | -0.766732 | -0.510580 | -0.818114 | 0.7348 | 0.7333 | 0.4292 | 1.816158 | 1.628359 |
| 2459535 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.43% | 0.00% | 0.177201 | 0.170730 | -0.410262 | 0.350455 | -0.699093 | -0.036196 | -0.391259 | -0.351709 | 0.8004 | 0.7775 | 0.3618 | 1.851252 | 1.592338 |
| 2459534 | digital_ok | 100.00% | 98.66% | 98.66% | 0.00% | 100.00% | 0.00% | 4.400572 | 3.736147 | -1.014179 | -0.615410 | 2.418209 | 4.344867 | 8.298752 | 8.307062 | 0.0854 | 0.1128 | 0.0203 | 1.298762 | 1.282358 |
| 2459533 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.89% | 0.00% | 0.456619 | 0.026149 | -0.425169 | 0.203273 | -0.372534 | -0.399636 | -0.699797 | -0.500117 | 0.7342 | 0.7274 | 0.4065 | 1.794598 | 1.665966 |
| 2459532 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.00% | 0.00% | 0.478881 | 0.381987 | -0.275938 | 1.050020 | -1.312133 | -0.813592 | -0.876907 | -0.324902 | 0.7350 | 0.7322 | 0.4076 | 1.766440 | 1.682954 |
| 2459530 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.73% | 0.00% | -0.194503 | 0.209481 | -0.433480 | 0.352552 | 0.365775 | 0.776714 | -0.105673 | 0.099310 | 0.7528 | 0.7431 | 0.3987 | 1.838016 | 1.669791 |
| 2459527 | digital_ok | 0.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459524 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.189759 | 0.350679 | -0.714963 | 0.689410 | 0.269386 | -1.040785 | -0.561327 | 0.125990 | 0.9069 | 0.9324 | 0.2986 | 0.000000 | 0.000000 |
| 2459523 | digital_ok | 0.00% | - | - | - | 14.29% | 0.00% | 1.299544 | -0.043446 | -1.032494 | 0.642259 | -0.880650 | -0.804439 | -0.748904 | -0.348673 | nan | nan | nan | 2.424692 | 2.164154 |
| 2459522 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.838659 | 0.094889 | -0.272126 | 0.711436 | -1.534346 | -0.281603 | -0.713892 | 0.157666 | 0.7242 | 0.6938 | 0.3347 | 1.971538 | 2.136777 |
| 2459513 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.174272 | -0.377226 | -0.799319 | -0.799403 | -0.794118 | -1.076251 | -0.807713 | -0.662751 | 0.0357 | 0.0403 | 0.0013 | nan | nan |
| 2459508 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 81.58% | 0.00% | 0.523074 | 0.499840 | -1.003665 | 0.419746 | -0.894682 | -0.529241 | -1.119971 | 0.076427 | 0.9178 | 0.9460 | 0.1696 | 0.000000 | 0.000000 |
| 2459505 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.245871 | 0.727724 | 0.181334 | 1.005246 | -1.030507 | -0.242462 | -0.012624 | 1.118808 | 0.0543 | 0.0563 | 0.0028 | 1.269035 | 1.249893 |
| 2459503 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 89.47% | 0.00% | 0.490806 | 0.355609 | -0.087623 | 0.773140 | -0.355513 | 1.517384 | -0.208595 | 1.260895 | 0.8664 | 0.8611 | 0.4390 | 0.000000 | 0.000000 |
| 2459501 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.466318 | -0.111821 | -0.081146 | -0.058324 | 0.930940 | -0.731170 | -0.693507 | -0.235600 | 0.1085 | 0.1227 | 0.0114 | 0.000000 | 0.000000 |
| 2459500 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.075155 | -0.326436 | -1.044279 | -0.321964 | -0.408506 | -0.129318 | -0.509850 | -0.803079 | 0.1071 | 0.1140 | 0.0103 | 0.000000 | 0.000000 |
| 2459499 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.055086 | 0.249298 | -1.123886 | 0.169449 | -0.471721 | 0.131327 | -0.464143 | -0.763379 | 0.1183 | 0.1351 | 0.0088 | 0.000000 | 0.000000 |
| 2459498 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.286570 | -0.262440 | -0.433492 | 0.041685 | -0.306611 | -0.020973 | -0.877694 | -0.200055 | 0.1336 | 0.1203 | 0.0150 | 0.000000 | 0.000000 |
| 2459497 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.175092 | -0.035856 | -0.020646 | -0.057850 | 0.310681 | -0.379132 | -0.852718 | -0.449462 | 0.1544 | 0.1390 | 0.0181 | 0.000000 | 0.000000 |
| 2459496 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -0.607660 | -0.288252 | -0.510225 | 0.214500 | -0.433677 | 0.070479 | -0.775076 | -0.430238 | 0.9096 | 0.9190 | 0.3519 | 0.000000 | 0.000000 |
| 2459495 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -0.442272 | -0.118670 | -0.675696 | 0.085344 | -0.515186 | -0.101746 | -0.787495 | -0.210757 | 0.9051 | 0.9137 | 0.3903 | 0.000000 | 0.000000 |
| 2459494 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -0.327147 | 0.086198 | -1.029333 | 0.158740 | -0.578446 | -0.433831 | -0.780267 | -0.537901 | 0.8906 | 0.9016 | 0.4122 | 0.000000 | 0.000000 |
| 2459492 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 50.00% | 0.00% | 0.488601 | -0.227574 | 0.353387 | -0.040347 | -0.104921 | -1.002991 | -0.486877 | -0.738258 | 0.7536 | 0.8018 | 0.3289 | 0.443859 | 0.421944 |
| 2459491 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 50.00% | 0.00% | -0.125829 | -0.049327 | 0.606052 | 0.708306 | 0.186212 | 1.269567 | -0.515433 | -0.281092 | 0.7969 | 0.8190 | 0.2531 | 0.848418 | 0.767595 |
| 2459490 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 47.37% | 0.00% | 0.164105 | -0.076469 | 0.476355 | 0.080141 | -0.054712 | -0.447383 | -0.478670 | -0.469873 | 0.7484 | 0.7993 | 0.3758 | 1.917499 | 1.733424 |
| 2459489 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 47.37% | 0.00% | 0.048952 | 0.086978 | 0.255795 | 0.349717 | 0.917715 | -0.122820 | -0.192491 | -0.165829 | 0.7681 | 0.8080 | 0.3157 | 1.727402 | 1.706716 |
| 2459488 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 85.71% | 0.00% | 0.480102 | -0.050631 | 0.058903 | -0.038432 | 0.247748 | 0.016210 | -0.456856 | -0.638189 | 0.7689 | 0.8105 | 0.3537 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶html_to_display = ''
for am_html in auto_metric_htmls:
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD).
HTML(html_to_display)
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 21.427970 | 2.820927 | 2.145605 | -0.454079 | 1.232826 | -1.090507 | 21.427970 | -0.675246 | 2.973280 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 26.117440 | 0.825789 | -0.705340 | 3.755895 | -0.064420 | 26.117440 | -1.094899 | 5.087134 | -0.228373 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Power | 8.082918 | 0.600336 | -0.330763 | 8.082918 | -0.388030 | 2.398309 | -0.827094 | 1.447237 | -0.253636 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 1.697433 | -0.649033 | 0.657932 | -0.648710 | 1.493445 | -0.581695 | 1.697433 | -0.145683 | 1.238847 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Power | 9.273332 | -0.716055 | 1.100344 | 0.394884 | 9.273332 | -0.685043 | 1.832628 | 0.177298 | -1.050804 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Power | 8.363104 | 1.612646 | -0.184104 | 8.363104 | -0.238750 | 1.851746 | -0.932355 | -0.733957 | -0.094895 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 12.090117 | -0.615113 | 0.283712 | -0.348904 | 6.571590 | -0.943449 | 12.090117 | -0.516967 | 3.361880 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Power | 10.081901 | 0.745419 | -0.858900 | 10.081901 | 0.033571 | 1.628107 | -0.666296 | 2.577283 | -0.409014 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Power | 13.971842 | -0.464875 | 1.839885 | 0.705275 | 13.971842 | 0.030297 | 1.450743 | 0.379965 | -0.540765 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 0.918717 | 0.454876 | -0.363374 | 0.256344 | -0.380046 | -0.772545 | -0.997408 | -0.630407 | 0.918717 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Discontinuties | 1.459289 | 0.360295 | 0.364892 | -0.123794 | 0.535734 | 1.342511 | 0.185320 | 1.459289 | -0.173440 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 2.090145 | 1.803181 | 0.593521 | -0.698837 | -0.253084 | -0.617867 | -0.573188 | -0.379346 | 2.090145 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 1.496027 | 0.849597 | 0.083471 | -0.854513 | 0.609160 | -0.526303 | -0.403183 | -0.469334 | 1.496027 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Power | 0.830849 | 0.233064 | 0.668363 | 0.830849 | -0.473784 | -0.659074 | -0.823557 | 0.119594 | -0.572094 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 2.312446 | 0.689061 | 0.339392 | -0.965928 | 0.323746 | -0.835010 | -0.559343 | -0.494578 | 2.312446 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 2.707840 | 0.215109 | 0.654798 | 0.428187 | -0.460488 | -0.463555 | -0.643938 | 2.707840 | -0.626422 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 1.113495 | -0.509440 | -0.380258 | -0.846471 | -0.814087 | 1.113495 | 0.469251 | -0.398053 | -0.657530 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 0.691915 | 0.010835 | 0.450756 | 0.376623 | -0.897200 | -0.388771 | -0.611257 | 0.691915 | -0.294326 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 3.341943 | 0.107190 | 0.075341 | 0.644148 | -0.739469 | 0.984270 | -0.307691 | 3.341943 | -0.348522 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 11.260325 | 0.084790 | 1.178435 | 0.430159 | -0.348930 | -0.328422 | 11.260325 | 0.376508 | -0.851540 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | 0.760989 | 0.567229 | 0.760989 | 0.452953 | -0.719414 | 0.103615 | -0.773821 | -0.313317 | -0.345827 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 6.325330 | -0.386905 | -0.345986 | -0.904304 | -0.877728 | -0.696261 | 6.325330 | -0.416918 | -0.085765 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Shape | 0.998178 | 0.679373 | 0.998178 | 0.440904 | 0.901157 | 0.597869 | 0.723186 | 0.409852 | 0.739308 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 0.906575 | 0.126475 | 0.411454 | 0.423020 | -0.838659 | 0.261656 | 0.906575 | 0.446398 | -0.715361 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 3.275805 | -0.075986 | 0.624731 | 0.537676 | -0.734560 | 0.172023 | 0.060752 | 3.275805 | 0.635900 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Shape | 0.190615 | 0.190615 | 0.190615 | 0.168786 | 0.168786 | -0.882853 | -0.882853 | -0.945292 | -0.945292 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 3.345516 | -0.249120 | 0.714994 | -1.059075 | 0.839374 | -0.080625 | -0.002746 | 0.391342 | 3.345516 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | 1.087594 | 1.087594 | 0.118621 | -0.316655 | -0.077197 | -0.171061 | -0.518753 | -0.111014 | 1.076474 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 1.725612 | -0.147365 | 0.764805 | -0.366573 | 0.651318 | 0.295087 | 0.730140 | -0.010546 | 1.725612 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 0.613700 | 0.507134 | 0.576863 | -0.415935 | 0.451852 | 0.613700 | 0.433523 | 0.089609 | 0.102760 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 0.734614 | -0.002274 | 0.370337 | -0.310425 | 0.515613 | 0.734614 | 0.618890 | 0.042274 | 0.006580 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 1.242312 | -0.232071 | 0.421616 | -0.497187 | 0.420295 | 0.586156 | 0.439499 | 0.229354 | 1.242312 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Power | 1.113720 | 0.474062 | 0.923991 | 1.113720 | -0.535343 | -0.407899 | -0.615938 | 0.595015 | -0.623517 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 49.498931 | 7.122553 | 6.130652 | 1.381369 | 0.364813 | 11.870497 | 49.498931 | 1.292092 | 1.437761 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 0.725186 | 0.286895 | -0.005495 | 0.453451 | -0.616673 | 0.597986 | 0.574708 | 0.725186 | -0.068835 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 1.631243 | 1.216991 | 0.052314 | -0.671469 | 0.250221 | -0.164155 | -0.372189 | -0.145811 | 1.631243 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 1.633872 | 0.668684 | 1.035348 | 1.382464 | -0.811164 | -0.608814 | -0.721124 | 1.633872 | -0.400267 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 0.672930 | -0.222132 | 0.236534 | 0.269578 | -0.038978 | 0.076131 | -0.080061 | 0.672930 | -0.676052 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Shape | 0.609764 | 0.609764 | 0.521367 | 0.425592 | -0.575650 | -0.168944 | -0.574016 | 0.507984 | -0.289149 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Power | 0.894009 | 0.122355 | -0.193369 | 0.894009 | -0.014732 | -0.766732 | -0.820329 | -0.818114 | -0.510580 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Power | 0.350455 | 0.177201 | 0.170730 | -0.410262 | 0.350455 | -0.699093 | -0.036196 | -0.391259 | -0.351709 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Discontinuties | 8.307062 | 3.736147 | 4.400572 | -0.615410 | -1.014179 | 4.344867 | 2.418209 | 8.307062 | 8.298752 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | 0.456619 | 0.456619 | 0.026149 | -0.425169 | 0.203273 | -0.372534 | -0.399636 | -0.699797 | -0.500117 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Power | 1.050020 | 0.478881 | 0.381987 | -0.275938 | 1.050020 | -1.312133 | -0.813592 | -0.876907 | -0.324902 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Variability | 0.776714 | 0.209481 | -0.194503 | 0.352552 | -0.433480 | 0.776714 | 0.365775 | 0.099310 | -0.105673 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | 1.189759 | 1.189759 | 0.350679 | -0.714963 | 0.689410 | 0.269386 | -1.040785 | -0.561327 | 0.125990 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | 1.299544 | 1.299544 | -0.043446 | -1.032494 | 0.642259 | -0.880650 | -0.804439 | -0.748904 | -0.348673 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | 0.838659 | 0.094889 | 0.838659 | 0.711436 | -0.272126 | -0.281603 | -1.534346 | 0.157666 | -0.713892 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | -0.174272 | -0.377226 | -0.174272 | -0.799403 | -0.799319 | -1.076251 | -0.794118 | -0.662751 | -0.807713 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | 0.523074 | 0.499840 | 0.523074 | 0.419746 | -1.003665 | -0.529241 | -0.894682 | 0.076427 | -1.119971 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Power | 1.300668 | 0.284064 | 0.852054 | -0.857123 | 1.300668 | -0.177775 | 0.263768 | -0.433354 | 0.044221 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | 1.245871 | 0.727724 | 1.245871 | 1.005246 | 0.181334 | -0.242462 | -1.030507 | 1.118808 | -0.012624 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Variability | 1.517384 | 0.490806 | 0.355609 | -0.087623 | 0.773140 | -0.355513 | 1.517384 | -0.208595 | 1.260895 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 0.930940 | 0.466318 | -0.111821 | -0.081146 | -0.058324 | 0.930940 | -0.731170 | -0.693507 | -0.235600 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | -0.075155 | -0.075155 | -0.326436 | -1.044279 | -0.321964 | -0.408506 | -0.129318 | -0.509850 | -0.803079 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Shape | 0.249298 | 0.249298 | 0.055086 | 0.169449 | -1.123886 | 0.131327 | -0.471721 | -0.763379 | -0.464143 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Power | 0.041685 | -0.286570 | -0.262440 | -0.433492 | 0.041685 | -0.306611 | -0.020973 | -0.877694 | -0.200055 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 0.310681 | -0.035856 | -0.175092 | -0.057850 | -0.020646 | -0.379132 | 0.310681 | -0.449462 | -0.852718 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Power | 0.214500 | -0.607660 | -0.288252 | -0.510225 | 0.214500 | -0.433677 | 0.070479 | -0.775076 | -0.430238 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Power | 0.085344 | -0.442272 | -0.118670 | -0.675696 | 0.085344 | -0.515186 | -0.101746 | -0.787495 | -0.210757 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Power | 0.158740 | 0.086198 | -0.327147 | 0.158740 | -1.029333 | -0.433831 | -0.578446 | -0.537901 | -0.780267 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | 0.488601 | -0.227574 | 0.488601 | -0.040347 | 0.353387 | -1.002991 | -0.104921 | -0.738258 | -0.486877 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | nn Temporal Variability | 1.269567 | -0.125829 | -0.049327 | 0.606052 | 0.708306 | 0.186212 | 1.269567 | -0.515433 | -0.281092 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Power | 0.476355 | -0.076469 | 0.164105 | 0.080141 | 0.476355 | -0.447383 | -0.054712 | -0.469873 | -0.478670 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Temporal Variability | 0.917715 | 0.048952 | 0.086978 | 0.255795 | 0.349717 | 0.917715 | -0.122820 | -0.192491 | -0.165829 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 14 | digital_ok | ee Shape | 0.480102 | 0.480102 | -0.050631 | 0.058903 | -0.038432 | 0.247748 | 0.016210 | -0.456856 | -0.638189 |